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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the future of technology as a Quantum Computing Research Scientist at Nexus Quantum Labs. We're pioneering the next frontier of computational power, and we need visionary minds to unlock quantum algorithms, error correction, and scalable systems. Join our elite team of physicists and engineers in revolutionizing industries from cryptography to drug discovery. This is your chance to work at the bleeding edge of scientific innovation, with state-of-the-art labs and resources to accelerate breakthroughs.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational challenges
  • Develop advanced quantum error correction protocols for scalable hardware
  • Collaborate with cross-functional teams to translate quantum research into commercial applications
  • Lead experimental validation of quantum systems using superconducting and photonic platforms
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Contribute to open-source quantum computing frameworks and toolkits
  • Mentor junior researchers and drive innovation in quantum machine learning

Qualifications

  • PhD in Quantum Physics, Computer Science, Mathematics, or related field
  • Expertise in quantum mechanics, quantum information theory, and many-body systems
  • Proficiency in quantum programming languages (Q#, Quil) and frameworks (Qiskit, Cirq)
  • Strong background in linear algebra, probability, and statistical modeling
  • Experience with quantum hardware platforms (superconducting, trapped ion, photonic)
  • Proven track record of high-impact publications in quantum computing
  • Excellent problem-solving skills with ability to tackle ambiguous technical challenges

Required Skills

quantum computing quantum mechanics algorithm design error correction Qiskit Cirq superconducting qubits machine learning cryptography

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